4.7 Article

Roles of reciprocity and fairness concerns in airline-airport systems with environmental considerations

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 312, 期 3, 页码 1011-1023

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ELSEVIER
DOI: 10.1016/j.ejor.2023.07.016

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Logistics; Airport-airline operations; Aviation; Sustainability; Fairness concerns; Transport economics

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This paper examines the impacts of reciprocity and fairness concerns on environmental sustainability in a single-airport two-airlines system through the analysis of mathematical models. The results show that reciprocity from the airport towards an airline improves the greening level, and the presence of fairness concerns affects revenue-sharing fraction. Enhancing passengers' environmental awareness is favorable for enhancing environmental sustainability.
Operations of airports and airlines are highly inter-dependent. Over the past decades, we have witnessed all kinds of alliances and coordination between airports and airlines. The observed industrial practices uncover that airports reward their airline partners with aligned objectives such as those in environmental sustainability, thereby displaying the positive reciprocity behaviors. However, the airport's preferential treatment towards a particular airline may induce the feeling of unfairness to the other airlines, leading to non-trivial peer-induced fairness concerns. In this paper, by building game-theoretic mathematical models, we analytically explore the impacts of reciprocity and fairness concerns on environmental sustainability in a single-airport two-airlines system. Our analysis highlights the importance of the cardinal relationship between an airport and airline(s) and shows that (i) a higher level of reciprocity of airport towards an airline helps improve the greening level, (ii) the presence of peer-induced fairness concern yields a lower revenue-sharing fraction of the fairness concerned airline, and (iii) improving the passengers' environmental awareness is favorable for enhancing the environmental sustainability. To enhance research rigor, we examine various extended models. We show that the theoretical findings derived in the main model remain robust in the extensions.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

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